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Is there any paper or blog that discuss the effect of the dimensionality of embedding layers? The Embedding layers can be used in deep learning models, like CNN or LSTM.

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You may find this blog post interesting:

https://medium.com/towards-data-science/deep-learning-4-embedding-layers-f9a02d55ac12

He explains two reasons for using embedding layers:

1) Computational efficiency: The embedding layer helps to convert a sparse encoding to a more efficient representation.

2) Better Visualization: Relation of words could be visualized in this new multi-dimensional space

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